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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery
29-31 May 2012
Showing 1-25 of 667
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
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The concept of variation fuzzy rough sets is put forward and its relevant properties and theorems are discussed; then the mathematical model of the optimal transfer sequence in the process of fuzzy rough communication among some agents is built, and the method of solving this kind of mathematical model is proposed. Finally, the example, concerning signal transfer verifies the validity of the metho...Show More
Application research of Web3D technology in three-dimensional show of oil well pitshaft information
Publication Year: 2012,Page(s):2607 - 2610
Oil well pitshaft information is important information of maintaining oil production and executing measure of tapping the potential, According to the actual situation of oil well pitshaft information show, Three-dimensional visualization technology base on web is adopted, The integrated use of 3D modeling technology and three-dimensional model Web publishing technology realized the network applica...Show More
Optimizing parameters of algorithm trading strategies using MapReduce
Xiongpai Qin;Huiju Wang;Furong Li;Jidong Chen;Xuan Zhou;Xiaoyong Du;Shan Wang
Publication Year: 2012,Page(s):2738 - 2741
Cited by: Papers (3)
In algorithm trading, computer algorithms are used to make the decision on the time, quantity, and direction of operations (buy, sell, or hold) automatically. To create a useful algorithm, the parameters of the algorithm should be optimized based on historical data. However, Parameter optimization is a time consuming task, due to the large search space. We propose to search the parameter combinati...Show More
Dynamic density-based clustering algorithm over uncertain data streams
Publication Year: 2012,Page(s):2664 - 2670
Cited by: Papers (12)
In recent years, the uncertain data stream which is related in many real applications attracts more and more attention of researchers. As one aspect of uncertain character, existence-uncertainty can affect the clustering process and results significantly. The lately reported clustering algorithms are all based on K-Means algorithm with the inhere shortage. DCUStream algorithm which is density-base...Show More
Notice of Retraction: Research on influence of corporate external governance mechanism on enterprise performance
Publication Year: 2012,Page(s):2782 - 2786
Mining community in social network using call detail records
Publication Year: 2012,Page(s):1641 - 1645
Cited by: Papers (7)
With the popularity of mobile devices and wireless technologies, mobile social network systems are increasingly available. In this paper we propose a new algorithm called Community Detection algorithm for mining interesting communities or groups in a Campus Mobile Social Network (CMSN). The proposal algorithm is composed of two main components, an algorithm for community partition and an algorithm...Show More
A quick attribute reduction algorithm based on knowledge granularity
Publication Year: 2012,Page(s):220 - 223
Cited by: Papers (1)
The research of knowledge granularity has been a hotspot at home and abroad. In incomplete information systems of the rough set, we give a formula, which calculates the attribute frequency directly without acquiring the discernibility matrix. Then applying it to the field of knowledge granularity, we give a quick calculation of the attribute reduction algorithm, which of the time complexity is O(|...Show More
Mechanism explanation on the growth rule of scientific literature
Publication Year: 2012,Page(s):1519 - 1522
Cited by: Papers (1)
In this paper, we studies on the exponential growth model, the logistic growth model, Shetopal -Burman growth model, systematic growth model and general growth model. The factors which affect the growth of scientific literature are complex and multifaceted, they include outside factors and inside factors of development of scientific literatures. The mechanism of the scientific literature growth we...Show More
The research of the resident user classification based on the maximum entropy in the smart grid
Publication Year: 2012,Page(s):1563 - 1566
In this paper, a novel approach was proposed for recognizing resident user type in the power consumption field, based ME some interesting features had been discussed. The probabilistic feature functions are used instead of binary feature functions, it is one of the several differences between this model and the most of the previous ME based model. We also explore several novel features in our mode...Show More
One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering paired or grouped drugs in Chinese Medical Formula database. Paired or grouped drugs are special combinations of two or more kinds of drugs. They not only have strong efficacy, but also can be used to construct formula classification rules. Associated and correlated pattern mining is effective in a ...Show More
Stability analysis for a type of T-S fuzzy control systems using integral quadratic constraints
Publication Year: 2012,Page(s):376 - 380
Cited by: Papers (1)
Recently, the well-known circle criterion and Popov criterion are introduced to investigate the stability of a type of T-S fuzzy control systems. Although both the two corresponding stability conditions have elegant graphical interpretations, the relation of them is not well studied. In this paper, we try to explain the two conditions by a new unified stability condition, which is based on the int...Show More
World cloud cover feature extraction base on wavelet and statistics from ISCCP D2 dataset
Publication Year: 2012,Page(s):1577 - 1580
In order to extract cloud cover feature from ISCCP D2 dataset, a method of feature extraction using wavelet and statistics was used. This method concerned the characteristic of the cloud cover and the applications requirement, and combined the autocorrelation function, partial autocorrelation function with the wavelet method. We can get the conclusion from the features: (1) the features from wavel...Show More
Research and simulation on the upper bound of the price of network anarchy
Publication Year: 2012,Page(s):2759 - 2763
Uncoordinated agents in society usually assumed to take their own optimal strategies do not always achieve the social optimum. In transportation network, travelers are assumed to choose the route that minimizes their own travel costs, which will form a Nash Equilibrium called user equilibrium where no one could be better off by changing routes in the network. This type of routing strategy named se...Show More
Design and implementation of channelized data acquisition card for Iub interface in 3G network
Publication Year: 2012,Page(s):2161 - 2165
In order to achieve real-time monitoring, evaluation and analysis of the Iub interface in 3G network with better use of the existing 3G network resource, it studied and designed a scheme of channelized data acquisition card for Iub interface. Compared to the existing data acquisition cards for Iub interface, the proposed scheme designed a modular channelized data acquisition card, which not only g...Show More
Notice of Retraction: Convergence and divergence analysis on China's regional financial development
Publication Year: 2012,Page(s):1494 - 1499
A simple multifractal model for rainfall IDF analysis in China
Publication Year: 2012,Page(s):1461 - 1465
the rainfall Intensity-Duration-Frequency (IDF) curves is one of the most commonly tools used in water resources engineering. A simple multifractal rainfall model with multifractal behavior approved by Andreas Langousis is used to estimate the IDF curves in this paper. The model is composed of exterior and interior process with constant duration D and “bare” intensity ID′. Using high resolution da...Show More
Chinese document image retrieval based on recognition candidates
Publication Year: 2012,Page(s):2892 - 2897
For the sake of the low recognition rate for degraded Chinese document, the retrieval performance is not good if directly based on OCR result. In this paper, an indexing method with n-gram and recognition candidates is proposed to improve the performance of retrieval. For ease of test, this paper also presents a method to automatically generate ground-truth of imaged document, synthesized degraded...Show More
An intelligent control architecture for search robot based on orthogonal perception information
Publication Year: 2012,Page(s):2348 - 2352
In order to address the problem of control architecture on Urban Search and Rescue (USAR) robotic system, a comprehensive victim's autonomous search and rescue robotic system based on biomimetic sensing technology is developed, and an intelligent robot control architecture based on orthogonal perception information is proposed. The intelligent control architecture contains sensory system, data pro...Show More
The analysis of harmonic frequency test for interlocking system
Publication Year: 2012,Page(s):2999 - 3003
Electrical Railroads provide electric power, which can operate vehicles, via feeder wires. And the supplied current returns to the transformer substation through lines and ground net. The used load current depending on the railway vehicles operation returns to the substation through a track which is a return circuit. The load current contains harmonics because of the power conversion equipment use...Show More
A fundamental assumption in machine learning is that the data distributions of the training and the test sets should be identical. When the assumption does not hold, the traditional machine learning algorithms might perform worse. In this paper, we tackle this transfer learning problem by implementing a general graph ranking framework for a sentiment classification task. We construct a fusion grap...Show More
Mining scalable pattern based on temporal logic over data streams
Publication Year: 2012,Page(s):1150 - 1154
In many data stream applications, data segments which are sequential and complicatedly changeable always imply great domain specific value. Especially in the field of medical survey, mining such sequential data segments will help making diagnosis. We discovered that, based on extensive analysis, although containing rich semantics, these data segments are actually composed of some certain basic uni...Show More
The research on optimization method for dynamic reduct
Publication Year: 2012,Page(s):270 - 273
Cited by: Papers (1)
The paper analyses the deficiencies of traditional generalized dynamic reduct algorithm and proposes a fast algorithm based on the validity of reduct. The algorithm only needs to calculate part of the subtable to get the generalized dynamic reduct. It decreases the number of subtables that need to calculate the reduct by using the stability threshold, and filters the reduct of subtables that are n...Show More
A case study: Intelligent false alarm reduction using fuzzy if-then rules in network intrusion detection
Publication Year: 2012,Page(s):505 - 509
Cited by: Papers (8)
Nowadays, network intrusion detection systems (NIDSs) have become an essential part for the network security infrastructure. However, the large number of false alarms is a big problem for these detection systems which greatly reduces their effectiveness and efficiency. To mitigate this problem, we have developed an intelligent false alarm filter to help filter out false alarms by adaptively and pe...Show More
Decoupling design of rolling aircraft using adaptive neuro-fuzzy inference systems based on T-S model
Publication Year: 2012,Page(s):339 - 343
Cited by: Papers (2)
Considering the coupling problem which is adverse to the control performance of rolling aircraft system, a dynamic decoupling method is proposed combining the feedforward compensation decoupling method and the adaptive neuro-fuzzy inference system. First, the decoupling compensation principle is deduced under the feedforward decoupling framework. And then, the adaptive neuro-fuzzy inference system...Show More
Intuitionistic fuzzy rough sets model based on (Θ, Φ)-operators
Publication Year: 2012,Page(s):234 - 238
Cited by: Papers (5)
The extension of rough set model is an important research direction in rough set theory. The aim of this paper is to present a new extension. At the first, we introduce a pair of dual intuitionistic fuzzy operators (Θ, Φ). And some important properties are examined about these these operators. Moreover, θ-lower and φ-upper approximation operators are defined, by using the operators, and a novel in...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
- CD-ROMPurchase at Partner
- Print on DemandPurchase at Partner
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